Data Scientist

About JD.com and Joybuy

JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from an innovative e-commerce platform into a top-tier technology and service provider emphasizing supply chain innovation. The company operates across sectors such as retail, technology, logistics, and healthcare, aiming to modernize traditional business frameworks through advanced digital technologies. Joybuy is JD.com’s European full-category online retail brand, providing fast, reliable, and affordable shopping with same-day and next-day delivery across the UK.

Role Summary

We are looking for a Data Scientist who will harness data-driven methods and machine learning techniques to enhance personalization, product recommendation, and analytical capabilities within Joybuy. This position involves transforming data into actionable business intelligence and collaborating closely with data engineers, product owners, and business units to refine decision-making and elevate customer experiences.

Key Responsibilities

• Develop predictive analytics and advanced modeling solutions to optimize customer personalization, recommendation engines, and segmentation strategies.
• Interpret extensive datasets to discover user behavior patterns, business prospects, and areas for product enhancements.
• Collaborate with data engineering teams to secure accurate, clean, and dependable data flows supporting experimentation and model rollout.
• Design and execute A/B testing protocols to quantify the effectiveness of algorithms and feature implementations.
• Convert complex technical results into practical advice and insights for stakeholders.
• Remain informed of the latest advances in machine learning, natural language processing, and artificial intelligence technologies, applying these to e-commerce challenges.
• Perform all tasks onsite in London.

Required Qualifications

• Master’s degree or higher in Data Science, Statistics, Computer Science, or an allied discipline.
• Minimum of 3 years’ experience in data science, machine learning, or applied analytics roles.
• Proven background in retail, logistics, or e-commerce sectors.
• Proficiency in programming languages such as Python, R, or Scala, along with expertise in statistical modeling and data analysis.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn and visualization platforms like Tableau or Power BI.
• Strong understanding of A/B testing methodologies, experimental design, and causal inference.
• Fluent English communication skills with the ability to clearly explain technical concepts to a non-technical audience.

Preferred Skills and Experience

• Experience in international e-commerce, especially in personalization or recommendation engine development.
• Familiarity with big data infrastructures such as Spark and Hadoop, and cloud machine learning environments like AWS Sagemaker, Google Cloud Vertex AI, or Azure ML.
• Knowledge of natural language processing or computer vision technologies applied at scale.
• Chinese language proficiency is an added advantage.

Equal Opportunity

JD.com embraces diversity and ensures equal employment opportunities for all qualified candidates regardless of race, religion, gender identity, sexual orientation, nationality, disability, age, or veteran status.